{"id":"W6944230203","doi":"10.17611/dp/18153296","title":"GMV for May 16, 2020 mb 5.9 ALBERTA, CANADA","year":2020,"lang":"en","type":"dataset","venue":"NSF Seismological Facility for the Advancement of Geoscience (SAGE)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Government (linguistics); Identification (biology); Pandemic; Perspective (graphical)","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006293757,0.002101445,0.001582638,0.00424596,0.001690948,0.004006509,0.002606473,0.001118266,0.2731351],"category_scores_gemma":[0.004390537,0.0007695162,0.001024933,0.01109336,0.00042751,0.001364028,0.001569099,0.001464319,0.2127905],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006346657,"about_ca_system_score_gemma":0.01330267,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7979879,"about_ca_topic_score_gemma":0.8701351,"domain_scores_codex":[0.9993306,0.00004016614,0.00003280789,0.0001824741,0.0002314249,0.0001825399],"domain_scores_gemma":[0.9978708,0.0001852578,0.0000854142,0.0003158344,0.001222533,0.0003202197],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000135219,0.000002076084,0.0001393256,0.00005525656,0.00000414985,0.000003294079,0.000004927204,0.00006121917,0.00001240512,0.000208787,0.9983674,0.001127621],"study_design_scores_gemma":[0.00005874099,0.000002834212,0.002982238,0.0001418471,0.00001126322,0.000009661546,0.00005725977,0.0002222813,0.0001130122,0.0007950752,0.9955873,0.00001842628],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003707756,0.00004921089,0.00003520981,0.00006299352,0.00003056081,0.000005158219,0.9968417,0.0003288888,0.002609272],"genre_scores_gemma":[0.0003452802,0.00008813076,0.0001992857,0.00004867112,0.00001210746,0.00002542468,0.9939919,0.0002100425,0.005079022],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.2731351,"threshold_uncertainty_score":0.9137279,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03149013873420437,"score_gpt":0.2848871149414112,"score_spread":0.2533969762072068,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}